Biostatistics is the application of statistical reasoning to the life sciences, and it's the key to unlocking the data gathered by researchers and the evidence presented in the scientific public health literature. In this course, we'll focus on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. Along the way, you'll be introduced to a variety of methods, and you'll practice interpreting data and performing calculations on real data from published studies. Topics include logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
このコースはBiostatistics in Public Health の専門講座に属します。
Simple Regression Analysis in Public Health
提供：
このコースについて
8,934 最近の表示
学習内容
Practice simple regression methods to determine relationships between an outcome and a predictor
Recognize confounding in statistical analysis
Perform estimate adjustments
習得するスキル
P-ValueProportional Hazards ModelConfoundingregression
シラバス - 本コースの学習内容
週
13時間で修了
Simple Regression Methods
Module one covers simple regression, the four different types of regression, commonalities between them, and simple linear aggression. Before completing the graded quiz, you can test your knowledge with the practice quiz.
8件のビデオ （合計148分）, 2 readings, 2 quizzes
8件のビデオ
Introduction3 分
Simple Regression: An Overview17 分
Simple Linear Regression with a Binary (or Nominal Categorical) Predictor14 分
Simple Linear Regression with a Categorical Predictor22 分
Simple Linear Regression with a Continuous Predictor25 分
Simple Linear Regression Model: Estimating the Regression Equation—Accounting for Uncertainty in the Estimates25 分
Measuring the Strength of a Linear Association22 分
Additional Examples17 分
2件の学習用教材
Solutions to Linear Regression Practice Quiz10 分
Quiz 1 Solution10 分
2の練習問題
Practice Quiz: Simple Linear Regression
Simple Linear Regression30 分
2時間で修了
Simple Logistic Regression
Within module two, we will look at logistic regression, create confidence intervals, and estimate p-values. You will have the opportunity to test your knowledge in both a practice quiz and a graded quiz.
6件のビデオ （合計89分）, 2 readings, 2 quizzes
6件のビデオ
Introduction2 分
Simple Logistic Regression: An Overview9 分
Simple Logistic Regression with a Binary (or Categorical) Predictor22 分
Simple Logistic Regression: Accounting for Uncertainty in the Estimates15 分
Estimating Risk and Functions of Risk from Logistic Regression Results16 分
Additional Examples21 分
2件の学習用教材
Solutions to Practice Quiz on Simple Logistic Regression10 分
Quiz 2 Solutions10 分
2の練習問題
Practice Quiz: Simple Logistic Regression
Logistic Regression30 分
週
23時間で修了
Simple Cox Proportional Hazards Regression
Module three focuses on Cox regression with different predictors. You will have the opportunity to test your knowledge first with the practice quiz and, then, with the graded quiz.
7件のビデオ （合計101分）, 2 readings, 2 quizzes
7件のビデオ
Introduction2 分
Simple Cox Regression: An Overview17 分
Simple Cox Regression with a Binary (or Categorical) Predictor17 分
Simple Cox Regression with a Continuous Predictor23 分
Simple Cox Regression: Accounting for Uncertainty in the Estimates14 分
Estimating Survival Curves from Cox Regression Results11 分
Additional Examples14 分
2件の学習用教材
Solutions for Practice Quiz on Simple Cox Regression10 分
Solutions to Summative Quiz 310 分
2の練習問題
Practice Quiz: Simple Cox Proportional Hazards Regression
Simple Cox Regression30 分
週
33時間で修了
Confounding, Adjustment, and Effect Modification
Within module four, you will look at confounding and adjustment, and unadjusted and adjusted association estimates. Additionally, you will learn about effect modification. Similar to previous modules, you will first take a practice quiz before completing the graded quiz.
10件のビデオ （合計117分）, 1 reading, 2 quizzes
10件のビデオ
Confounding: A Formal Definition and Some Examples15 分
Adjusted Estimates: Presentation, Interpretation, and Utility for Assessing Confounding11 分
Adjusted Estimates: The General Idea Behind the Computations8 分
Additional Examples7 分
Effect modification: Introduction with an analytic example17 分
Effect modification: Tree damage and elevation example15 分
Effect modification: Examples from the literature16 分
Confounding versus effect modification: A review7 分
Additional examples15 分
1件の学習用教材
Solutions to Summative Quiz 410 分
2の練習問題
Practice Quiz: Confounding and Effect Modification12 分
Confounding and Effect Modification30 分
週
42時間で修了
Course Project
During this module, you get the chance to demonstrate what you've learned by putting yourself in the shoes of biostatistical consultant on two different studies, one about self-administration of injectable contraception and one about medical appointment scheduling in Brazil. The two research teams have asked you to help them interpret previously published results in order to inform the planning of their own studies. If you've already taken other courses in this specialization, then this scenario will be familiar.
1 reading, 1 quiz
1件の学習用教材
Biostatistical Consulting Project10 分
1の練習問題
Course Project Quiz2 時間
4.7
8件のレビューSimple Regression Analysis in Public Health からの人気レビュー
Very practical course. The tutor makes complex concepts seem easy.
Good as always, hope to have more high level courses in future
講師
John McGready, PhD, MS
Associate Scientist, BiostatisticsBloomberg School of Public Health
ジョンズ・ホプキンズ大学（Johns Hopkins University）について
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Biostatistics in Public Health 専門講座について
This specialization is intended for public health and healthcare professionals, researchers, data analysts, social workers, and others who need a comprehensive concepts-centric biostatistics primer. Those who complete the specialization will be able to read and respond to the scientific literature, including the Methods and Results sections, in public health, medicine, biological science, and related fields. Successful learners will also be prepared to participate as part of a research team.
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